Eberhard Spanuth

1.0k total citations
30 papers, 650 citations indexed

About

Eberhard Spanuth is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Eberhard Spanuth has authored 30 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 8 papers in Epidemiology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eberhard Spanuth's work include Acute Myocardial Infarction Research (10 papers), Sepsis Diagnosis and Treatment (8 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). Eberhard Spanuth is often cited by papers focused on Acute Myocardial Infarction Research (10 papers), Sepsis Diagnosis and Treatment (8 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). Eberhard Spanuth collaborates with scholars based in Germany, United States and Italy. Eberhard Spanuth's co-authors include Serge Masson, Roberto Latini, Luciano Gattinoni, Pietro Caironi, Georg Heß, R Thomae, Roberto Fumagalli, Tommaso Mauri, Caterina Fanizza and G Sangiorgi and has published in prestigious journals such as CHEST Journal, European Heart Journal and Anesthesiology.

In The Last Decade

Eberhard Spanuth

29 papers receiving 629 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eberhard Spanuth Germany 12 283 221 126 106 91 30 650
Mehmet Doğan Türkiye 18 130 0.5× 458 2.1× 224 1.8× 35 0.3× 80 0.9× 66 732
Marco Antonio Martínez‐Ríos Mexico 17 146 0.5× 397 1.8× 339 2.7× 30 0.3× 79 0.9× 100 793
G. Pilz Germany 11 344 1.2× 234 1.1× 151 1.2× 37 0.3× 99 1.1× 28 654
Mehmet Öç Türkiye 12 124 0.4× 381 1.7× 256 2.0× 28 0.3× 64 0.7× 42 795
J.J.J. Borm Netherlands 17 157 0.6× 233 1.1× 276 2.2× 36 0.3× 70 0.8× 26 985
William T. Merritt United States 16 113 0.4× 87 0.4× 373 3.0× 65 0.6× 42 0.5× 53 814
Maurene Viele United States 21 187 0.7× 100 0.5× 144 1.1× 54 0.5× 39 0.4× 31 1.4k
Badira F. Makhoul Israel 13 177 0.6× 194 0.9× 79 0.6× 37 0.3× 34 0.4× 17 518
Helene Häberle Germany 14 106 0.4× 95 0.4× 163 1.3× 19 0.2× 43 0.5× 24 628
Hemang Yadav United States 18 324 1.1× 194 0.9× 221 1.8× 31 0.3× 92 1.0× 64 1.2k

Countries citing papers authored by Eberhard Spanuth

Since Specialization
Citations

This map shows the geographic impact of Eberhard Spanuth's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eberhard Spanuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eberhard Spanuth more than expected).

Fields of papers citing papers by Eberhard Spanuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eberhard Spanuth. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eberhard Spanuth. The network helps show where Eberhard Spanuth may publish in the future.

Co-authorship network of co-authors of Eberhard Spanuth

This figure shows the co-authorship network connecting the top 25 collaborators of Eberhard Spanuth. A scholar is included among the top collaborators of Eberhard Spanuth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eberhard Spanuth. Eberhard Spanuth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sörensen, Nils A., Franz‐Josef Neumann, Francisco Ojeda, et al.. (2019). Diagnostic Evaluation of a High-Sensitivity Troponin I Point-of-Care Assay. Clinical Chemistry. 65(12). 1592–1601. 55 indexed citations
2.
Soerensen, N A, Franz‐Josef Neumann, Francisco Ojeda, et al.. (2018). P3181Diagnostic evaluation of a new high-sensitive point-of-care troponin I assay. European Heart Journal. 39(suppl_1). 1 indexed citations
3.
Caironi, Pietro, Roberto Latini, Joachim Struck, et al.. (2017). Circulating Biologically Active Adrenomedullin (bio-ADM) Predicts Hemodynamic Support Requirement and Mortality During Sepsis. CHEST Journal. 152(2). 312–320. 55 indexed citations
4.
Bomberg, Hagen, Matthias Klingele, Stefan Wagenpfeil, et al.. (2017). Presepsin (sCD14-ST) Is a Novel Marker for Risk Stratification in Cardiac Surgery Patients. Anesthesiology. 126(4). 631–642. 21 indexed citations
5.
Ristagno, Giuseppe, Serge Masson, Marjaana Tiainen, et al.. (2016). Elevated plasma heparin-binding protein is associated with early death after resuscitation from cardiac arrest. Critical Care. 20(1). 251–251. 18 indexed citations
6.
Spanuth, Eberhard, et al.. (2015). Utility of presepsin (sCD14-ST) as a diagnostic and prognostic marker of sepsis in the emergency department. Clinica Chimica Acta. 450. 169–175. 63 indexed citations
7.
Spanuth, Eberhard, R Thomae, & Evangelos Giannitsis. (2015). Analytical and diagnostic characteristics of the high-sensitivity PATHFAST troponin I assay. Critical Care. 19(S1). 1 indexed citations
8.
Ivandic, Boris, Eberhard Spanuth, & Evangelos Giannitsis. (2014). Performance of the AQT90 FLEX cTnI Point-Of-Care Assay for the Rapid Diagnosis of Acute Myocardial Infarction in the Emergency Room. Clinical Laboratory. 60(06/2014). 903–8. 5 indexed citations
9.
10.
Ivandic, Boris, Eberhard Spanuth, Marcus E. Kleber, Tanja B. Grammer, & Winfried März. (2011). High-sensitivity troponin T improves the prognostic value of N-terminal pro-B-type natriuretic peptide in patients with stable coronary artery disease: results from the LURIC Study. Clinical Chemistry and Laboratory Medicine (CCLM). 49(6). 1053–1058. 5 indexed citations
11.
Brune, Kay, Hugo A. Katus, Joachim Moecks, et al.. (2008). N-Terminal Pro–B-Type Natriuretic Peptide Concentrations Predict the Risk of Cardiovascular Adverse Events from Antiinflammatory Drugs: A Pilot Trial. Clinical Chemistry. 54(7). 1149–1157. 11 indexed citations
12.
Schmidt‐Gayk, H., Eberhard Spanuth, Reiner Bartl, et al.. (2004). Performance evaluation of automated assays for β-CrossLaps, N-MID-Osteocalcin and intact parathyroidhormone (BIOROSE Multicenter Study). Clinical Chemistry and Laboratory Medicine (CCLM). 42(1). 90–5. 41 indexed citations
13.
Heyduck, B., et al.. (1993). The effect of different exercise intensities on the fibrinolytic system. European Journal of Applied Physiology. 67(4). 298–304. 37 indexed citations
14.
Spanuth, Eberhard, et al.. (1992). Evaluation of plasma D-dimer in the diagnosis and in the course of fibrinolytic therapy of deep vein thrombosis and pulmonary embolism. Thrombosis Research. 67(2). 213–220. 11 indexed citations
15.
Heilmann, L., et al.. (1991). Hämostase und Präeklampsie. Geburtshilfe und Frauenheilkunde. 51(3). 223–227. 9 indexed citations
16.
Vogel, G & Eberhard Spanuth. (1990). Predictive value of fibrin monomers in postoperative deep vein thrombosis. Journal of Molecular Medicine. 68(20). 1020–1026. 10 indexed citations
17.
Oehler, G, et al.. (1988). Detection of soluble fibrin monomer complexes. Comparison of a haemagglutination assay with the ethanol gelation test.. PubMed. 115(3). 278–83. 3 indexed citations
18.
Spanuth, Eberhard & Johannes Breyer. (1988). Experiences with a statistical quality control system (QCS) for coagulation diagnostics parameters.. PubMed. 115(4). 539–45. 1 indexed citations
19.
20.
Spanuth, Eberhard & Jean Amiral. (1984). Diagnostische Validität eines neuen Latex-Agglutinations-Tests zur Bestimmung von Fibrin(ogen)-Spaltprodukten (FDP-Test). LaboratoriumsMedizin. 8(10). 347–350. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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